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KR Labs的研究者把这个问题叫做"工具输出修剪"(Tool-Output Pruning)——核心思路是:在AI助手读取工具输出之前,先用另一个小模型把没用的内容剪掉,只把真正有价值的那几行传给AI。他们把这套系统起名叫**Squeez**(挤压、精简之意),并围绕它做了一套完整的测评基准、数据集和模型。
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